Exception: [500] Internal Server Error

[dsbyprateekg]

Hi,

After uploading a PDF, I am able to see the screen below-

But it is showing error while returning a response like below- Traceback (most recent call last): File "d:\nvidia_learning\llm-env\lib\site-packages\langchain_nvidia_ai_endpoints\_common.py", line 203, in _try_raise response.raise_for_status() File "d:\nvidia_learning\llm-env\lib\site-packages\requests\models.py", line 1021, in raise_for_status raise HTTPError(http_error_msg, response=self) requests.exceptions.HTTPError: 500 Server Error: Internal Server Error for url: https://api.nvcf.nvidia.com/v2/nvcf/pexec/functions/8f4118ba-60a8-4e6b-8574-e38a4067a4a3

Is this from the endpoint? Please suggest how to resolve this?

Complete logs are- `The above exception was the direct cause of the following exception:

Traceback (most recent call last): File "d:\nvidia_learning\llm-env\lib\site-packages\streamlit\runtime\scriptrunner\script_runner.py", line 535, in _run_script exec(code, module.dict) File "D:\NVIDIA_Learning\nvidia_streamlit_llm__main.py", line 126, in for response in chain.stream({"input": augmented_user_input}): File "d:\nvidia_learning\llm-env\lib\site-packages\langchain_core\runnables\base.py", line 2424, in stream yield from self.transform(iter([input]), config, **kwargs) File "d:\nvidia_learning\llm-env\lib\site-packages\langchain_core\runnables\base.py", line 2411, in transform yield from self._transform_stream_with_config( File "d:\nvidia_learning\llm-env\lib\site-packages\langchain_core\runnables\base.py", line 1497, in _transform_stream_with_config chunk: Output = context.run(next, iterator) # type: ignore File "d:\nvidia_learning\llm-env\lib\site-packages\langchain_core\runnables\base.py", line 2375, in _transform for output in final_pipeline: File "d:\nvidia_learning\llm-env\lib\site-packages\langchain_core\output_parsers\transform.py", line 50, in transform yield from self._transform_stream_with_config( File "d:\nvidia_learning\llm-env\lib\site-packages\langchain_core\runnables\base.py", line 1473, in _transform_stream_with_config final_input: Optional[Input] = next(input_for_tracing, None) File "d:\nvidia_learning\llm-env\lib\site-packages\langchain_core\runnables\base.py", line 1045, in transform yield from self.stream(final, config, **kwargs) File "d:\nvidia_learning\llm-env\lib\site-packages\langchain_core\language_models\chat_models.py", line 249, in stream raise e File "d:\nvidia_learning\llm-env\lib\site-packages\langchain_core\language_models\chat_models.py", line 233, in stream for chunk in self._stream( File "d:\nvidia_learning\llm-env\lib\site-packages\langchain_nvidia_ai_endpoints\chat_models.py", line 123, in _stream for response in self.get_stream( File "d:\nvidia_learning\llm-env\lib\site-packages\langchain_nvidia_ai_endpoints_common.py", line 484, in get_stream return self.client.get_req_stream(self.model, stop=stop, payload=payload) File "d:\nvidia_learning\llm-env\lib\site-packages\langchain_nvidia_ai_endpoints_common.py", line 371, in get_req_stream self._try_raise(response) File "d:\nvidia_learning\llm-env\lib\site-packages\langchain_nvidia_ai_endpoints_common.py", line 218, in _try_raise raise Exception(f"{title}\n{body}") from e Exception: [500] Internal Server Error Internal error while making inference request`